81043123216Curr Eye ResCurr. Eye Res.Current eye research0271-36831460-220223078191363344310.3109/02713683.2012.733054NIHMS451843ArticleMedical Record Validation of Self-Reported Eye Diseases and Eye Care Utilization among Older AdultsMacLennanPaul A.MPH, Ph.D.pmac@uab.edu1McGwinGeraldJr.MS, Ph.D.mcgwin@uab.edu123SearceyKarenMPHsearcey@uab.edu2OwsleyCynthiaPh.D., MSPHowsley@uab.edu2Department of Surgery, School of Medicine, University of Alabama at BirminghamDepartment of Ophthalmology, School of Medicine, University of Alabama at BirminghamDepartment of Epidemiology, School of Public Health, University of Alabama at BirminghamAuthor contact information: Paul A. MacLennan, Ph.D., Assistant Professor, Department of Surgery, UAB School of Medicine, 115 Kracke Building, 1530 3rd Ave South, Birmingham AL 35294-0016, (205) 934-2304 (office), (205) 975-3040 (fax), pmac@uab.edu1420131810201212013011201438118Purpose

Vision impairment is an important public health concern. Accurate information regarding visual health and eye care utilization is essential to monitor trends and inform health policy interventions aimed at addressing at-need populations. National surveys provide annual prevalence estimates but rely on self-report. The validity of self-reported information regarding eye disease has not been adequately explored.

Methods

This cross-sectional study compared self-report of eye care utilization and eye disease with information obtained from medical records. The study population was 2,001 adults aged 70 years and older who completed the Behavioral Risk Factor Surveillance System’s Visual Impairment and Access to Eye Care Module. Cohen’s kappa (κ) was used to assess agreement.

Results

Agreement between self-report and medical records was substantial for eye care utilization (κ=0.64) and glaucoma (κ=0.73), moderate for macular degeneration (κ=0.40) and diabetic retinopathy (κ=0.47), and slight for cataracts (κ=0.18). Self-report tended to overestimate the number of subjects who visited an eye care provider in the previous year, and underestimated the prevalence in all but one (glaucoma) of the four eye diseases evaluated.

Conclusions

Though agreement was substantial for self-report of eye care utilization, results of the current study suggest that national estimates based on self-report overestimate eye care utilization.

visionself-reportepidemiologyNational Eye Institute : NEIR01 EY018966 || EY
INTRODUCTION

Vision impairment is an important public health concern that affects more than 3.6 million Americans age 40 and older and results in significant disability and annual economic costs estimated at over $51 billion.1,2 The most common age-related eye diseases are age-related macular degeneration, cataract, diabetic eye conditions and glaucoma.1 As the population ages, the number of Americans at risk for age-related eye diseases is increasing.3 Moreover, the prevalence of diabetes in the United States (US) has more than doubled over the past 20 years,4 and is expected to continue to grow into the foreseeable future,5 dramatically increasing the numbers at risk for diabetic retinopathy. Thus, accurate information on visual health and eye care utilization is essential to monitor trends and inform health policy interventions aimed at addressing the needs of these populations. Recent US general population prevalence estimates of visual impairment and utilization of eye care services have relied on national population based surveys, including the National Health and Nutrition Examination Survey (NHANES),6,7 which includes an eye examination, the Behavioral Risk Factor Surveillance System (BRFSS)8 and the National Health Interview Survey (NHIS).9 Both the BRFSS and NHIS are based on self-report; however, the reliability and validity of self-reported visual impairment and utilization of eye care services information has not been fully explored.

Relatively few investigations have examined self-reported vision related outcomes with respect to validity.1015 High self-report accuracy has been shown for cataracts among a large nationally representative sample.11 Among a cohort of Latinos 40 and older, low sensitivity and high specificity were reported for four self-reported eye diseases (macular degeneration, cataract, diabetic eye conditions and glaucoma).15 Among diabetic populations, slight and fair agreement for the frequency of eye care utilization has been reported.13,14 Previous studies examining agreement between patient self-report and information obtained from medical records have suggested a number of patient and provider characteristics that potentially influence agreement.1028 Agreement has been shown to be high for some conditions, e.g., diabetes mellitus,17,21,22,25 but poor for others, e.g., arthritis.25 Poor agreement has been shown to be influenced by patient factors including increasing age,2123 male gender,22,23 non-White race,13,26,27 low educational attainment,11,22 impaired cognitive function,21 and increasing number of comorbidities;2123 still, other research has reported that many of these factors do not play a significant role in the accuracy of self-reported medical information.11,16,20,25,28) There is continued uncertainty regarding the potential limitations of self-reported vision health information. The study’s objective is to evaluate the reliability of self-reported eye care utilization and vision health information obtained from older adults who completed the BRFSS Visual Impairment and Access to Eye Care Module.

METHODS

The research followed the tenets of the Declaration of Helsinki. Informed consent was obtained from study subjects after explanation of the nature and possible consequences of the study. The study was approved by the Institutional Review Board of The University of Alabama at Birmingham.

Study population

The study sample consisted of participants in a population-based, prospective cohort study on older drivers in north central Alabama (Owsley et al., submitted 2012). The source population for the study sample consisted of adults aged ≥ 70 years old who resided in Jefferson County, Alabama or the border areas of contiguous counties. Potential participants were randomly identified from contact information available through a list of persons obtained from a direct marketing company (Pinpoint Technologies, Tustin CA).29 We then confirmed driver’s license status through the Alabama Department of Public Safety, and eliminated those from the target population who did not hold Alabama licenses. Potential participants were randomly selected from the final list, received a letter, and were telephoned to confirm that they were eligible to participate. Persons who stated they had an Alabama license and had driven within the last three months, were ≥ 70 years old, and spoke English were invited for participation. Participants were enrolled between October 2008 and August 2011. Eighty-four percent of those who met eligibility criteria consented to participate.

Demographic, general health, and co-morbidity information was obtained during an in-person interview. All participants completed the 2009 BRFSS vision module which consists of nine questions aimed at assessing visual impairment, eye disease, access to eye care, eye care insurance, and eye examination; in addition, the BFRSS diabetes module question regarding retinopathy was included. Table 1 lists the specific eye disease and access to eye care questions considered in the current study. Subjects were asked permission for copies of their eye medical records to be obtained and provided contact information (name, telephone number and business address) for their eye care provider (ophthalmologist or optometrist). A researcher highly experienced at abstracting eye medical records and masked to the responses provided by subjects reviewed medical records and extracted information about the date of the most recent examination and diagnoses.

Variable definitions

Subjects were given seven choices for the question regarding the time of last eye exam (Table 1). Responses of “not sure” (N=7) were not considered in the analysis because equivalent information was not available from medical records. Similar categories were created based on medical record information by deriving the time of last eye exam, i.e., the time difference between the date of subject interview and the date of last examination listed on the medical record. To make results comparable to previous research,8 three mutually exclusive categories (< 1year, 1–2 years, and > 2years) were used for comparisons.

Subjects were given four options for questions regarding past diagnosis of glaucoma, macular degeneration, and diabetic retinopathy (Table 1). Responses of “not sure”, or “refused” were not considered in the analysis. For the cataract question there is an additional choice of “yes, but had them removed”, and for purposes of data analysis the two affirmative answers were combined into one “yes” category. Medical record information was abstracted by an experienced coder masked to subject responses. The following coding scheme was used. In general, disease definitions utilized were very broad. Each eye was coded separately. A participant was designated as having the condition if present in one or both eyes. An eye was coded as having an intra-ocular lens insertion (IOL) if IOL presence was used to characterize the eye in chart notes. Cataract was designated for eyes where chart notes included the term “cataract” regardless of type or severity level, or if IOL information was present in the medical record. Glaucoma was designated for eyes where notes made reference to the presence of glaucoma (any type); in addition, presence of ocular hypertension and glaucoma suspect were documented but not included in the primary analysis. Macular degeneration was designated for eyes where notes made reference to the term macular degeneration (including all disease severity descriptors such as “early”, “mild”. “moderate”, “intermediate”, “geographic atrophy”, “exudative”, “CNV” (choroidal neovascularization), “dry” and “wet”). Macular degeneration was also coded for eyes where the chart notes included macular drusen, hypo- or hyper-pigmentation, or pigment mottling. Diabetic retinopathy was designated for eyes where the terms diabetic retinopathy or diabetic macular edema were used, regardless of severity level.

Statistical analysis

Cohen’s kappa (κ) coefficients and their 95% confidence intervals (CIs) were calculated and used to determine agreement between information obtained from self-report and that from medical record. Because of the ordinal nature of the last eye exam variable, weighted kappa was used to assess agreement while simple kappa was used to assess agreement for eye diseases. Kappa values can range from −1 to 1 and qualitative interpretation has been previously characterized as: < 0 = no agreement; 0–0.20 = slight; 0.21–0.40 = fair; 0.41–0.60 = moderate; 0.61–0.80 = substantial; and 0.81–1.0 = almost perfect.30 Race specific (White and African American) kappa coefficients were compared and the Chi-square test of equality used to test for significant differences.

RESULTS

There were 2,001 subjects in the study (Table 2). Average age was 77 years and ranged from 70 to 98. The majority of subjects were male (56.5%) and of White race (82.1%) with the balance almost entirely African Americans. Most subjects judged their general health to be very good or excellent (59%); nonetheless, most reported co-morbidities, including high blood pressure (65.4%), arthritis (54.5%), and heart problems (39.9%). Medical records were successfully obtained for the vast majority of the sample (1,873 of 2,001, 93.6%). The majority were from ophthalmologists (61.9%) and the remainder, optometrists (38.1%). Reasons for not obtaining records were: subject unable to provide a name for their eye care provider (N=59), no previous eye exam on record (N=38), eye exam date occurred after the interview date (N=27), the ophthalmologist’s or optometrist’s office never provided records in spite of repeated requests (N=2), and the subject refused to give permission (N=2).

There was substantial agreement between the question regarding time since last eye exam and information obtained from medical records (κW=0.64, 95% CI 0.60–0.68) (Table 3). Subjects tended to judge their most recent eye care examination as having occurred more recently than it did. For example, 79.4% of subjects reported their last eye exam as occurring within the previous year but medical records indicated 71.0%; likewise, 9.8% of subjects reported their last eye exam as having occurred more than two years ago but medical records indicated 12.8%.

Table 4 presents agreement with medical record for the questions regarding diagnosis for four major eye diseases. Agreement for cataracts or intra-ocular lens insertion was slight (κ=0.18, 95% CI = 0.13–0.23) with 80.8% concordance. For subjects reporting and not reporting cataracts, percent agreement was 97.8% and 15.4%, respectively. Cataracts prevalence based on self-report was 79.4% and 95.1% based on medical record. Agreement for glaucoma was substantial (κ=0.73, 95% CI = 0.68–0.78) with 94.8% concordance. For those reporting and not reporting glaucoma, percent agreement was 75.5% and 97.2%, respectively. Glaucoma prevalence based on self-report was 11.0% and 10.8% based on medical records. Agreement for macular degeneration was moderate (κ=0.40, 95% CI = 0.35–0.46) with 86.1% concordance. For those reporting and not reporting macular degeneration, percent agreement was 73.9% and 87.2%, respectively. Macular degeneration prevalence based on self-report was 8.5% and 18.0% based on medical records. Agreement for diabetic retinopathy was moderate (κ=0.47, 95% CI = 0.35–0.59) with 97.2% concordance. For those reporting and not reporting diabetic retinopathy, percent agreement was 58.1% and 98.1%, respectively. Diabetic retinopathy prevalence based on self-report was 2.3% and 3.2% based on medical record.

Agreement between self-report and medical record for eye care utilization and most eye diseases were similar for Whites and African Americans (Table 5). However, for macular degeneration there was significantly less agreement for African Americans than Whites (κ=0.14 versus κ=0.42, p<0.01). Very few African Americans (3.6%) reported macular degeneration but of those that did, 63.6% did not have the diagnosis listed on their medical records, compared to 23.5% among White participants. There was no significant difference in agreement between African Americans and Whites for any other eye diseases examined; though, there were dissimilar patterns of discordance by race for glaucoma diagnosis. For example, among African Americans and Whites who self-reported no to the glaucoma question, 7.2% and 2.0% respectively, had medical record information indicating that they did have glaucoma; among African Americans and Whites who self-reported yes to the glaucoma question, 13.9% and 30.5%; respectively, did not have medical record information that confirmed the diagnosis.

DISCUSSION

The current study provides an evaluation of self-reported eye care utilization and eye disease among older adults by examining response agreement with information obtained from medical records. Agreement was substantial for the question regarding time of last eye examination; however, the results suggest that eye care utilization estimates based on this question will overestimate the number of respondents who received an eye exam within the previous year and underestimate the number receiving an eye exam greater than two years ago. Qualitatively, for the four eye disease questions investigated, agreement was substantial for one, moderate for two and slight for the other.

The study’s prevalence estimates for cataracts are much greater than previous estimates for a similarly aged population.8,11,12,31,32 This is primarily due to the present study combining responses for current cataract and past cataract removal. Nonetheless, the concordance for cataracts in the current study was comparable to previous research.11,12 A large proportion (85%) of the current study’s subjects who reported no cataracts, in fact had medical record information indicating cataracts; as might be expected, most (92.9%) of these participants had not had an IOL. Poor agreement may be due to eye care providers noting a diagnosis of cataract in the early stages of opacity, yet because the vision impairment is minor or the patient cites no vision complaints, the provider does not believe it necessary to inform patients of the early condition.

The self-reported prevalence of glaucoma in the current study was similar to those reported in recent analyses of similarly aged adults, one that that relied on 2005 through 2008 BRFSS data,8 and the other, 2002 NHIS data.32 Two conditions related to glaucoma, but diagnostically distinct from it, are ocular hypertension and glaucoma suspect. In caring for patients diagnosed with ocular hypertension or glaucoma suspect and in discussing their disorder with them, it would not be surprising if eye care providers may mention the term “glaucoma”. Thus it would not be surprising if some patients got the impression that they had glaucoma. Broadening the classification of glaucoma to include glaucoma suspect (N=104) and ocular hypertension (N=26) increased the number of subjects diagnosed with glaucoma-related conditions from 200 (10.8%) to 330 (17.7%). Agreement for this broad diagnostic category with self-report of glaucoma was reduced from 0.73 to 0.60 suggesting that those with ocular hypertension or glaucoma suspect diagnoses tended to correctly understand that they did not have glaucoma. Of the 200 subjects with medical record information indicating glaucoma, 165 (77.0%) correctly self-reported their glaucoma diagnosis. For the 130 subjects with medical record information indicating glaucoma suspect or ocular hypertension, 109 (83.9%) correctly self-reported no glaucoma diagnosis. Thus, a large proportion of participants with a medical record diagnosis of glaucoma, glaucoma suspect and ocular hypertension were able to accurately report, suggesting that self-report of glaucoma is valid.

Self-reported prevalence of macular degeneration was slightly lower than those of a recent analysis of similarly aged adults that relied on 2005 through 2008 BRFSS data,8 but similar to self-reported prevalence among adults 75 and older participating in the 2002 NHIS.32 Differences may be due to the current study’s inclusion of only current drivers. Since the ability to obtain a license to drive a motor vehicle and one’s decision to actually be a driver is influenced by vision,33 it is likely that participants had better vision health on average compared to similarly aged individuals regardless of licensure status from the general population.

The results indicated moderate agreement for the question regarding diabetic retinopathy. A recent study which investigated the prevalence of diabetic retinopathy using 1997–2010 BRFSS data found that although the prevalence of diabetes had increased over the study period, the prevalence of age-adjusted vision impairment and diabetic retinopathy among those reporting diabetes had decreased from 23.7% to 16.7%.34 It is encouraging that the anticipated increase in diabetic retinopathy has not occurred, but the authors note that the unclear validity of the self-report of vision impairment was a study limitation. Results of the current study indicate under-reporting for self-reported diabetic retinopathy but do not provide information as to whether reporting is differential with regard to diabetes diagnosis, subject age, or time period of report.

The current study found a significant difference in agreement between African Americans and Whites for self-reported macular degeneration with medical record (κ=0.14 versus κ=0.43, p<0.01). Previous research is ambiguous regarding the role of race in the accuracy of self-reported medical conditions.13,16,26,27 Racial differences in health literacy35 might contribute to African Americans being less familiar with eye disease such as glaucoma.36 An analysis of focus groups of ophthalmologists and optometrists from a similar geographic region as the current study found that a majority (74%) of their comments were negative about older African Americans’ attitudes about vision and eye care. In general, the eye care professionals were concerned that older African Americans did not make eye care a priority and did not fully understand the importance of preventive strategies and available treatments.37 Recent research has supported the proposition that physician-patient communications play an important role in race based health disparities,3841 which may have contributed to the agreement patterns reported in the current study for macular degeneration and glaucoma.

Early detection and treatment of eye diseases is important in maintaining eye health and decreasing disability.4244 Mobility and quality of life are negatively impacted by vision impairment resulting in heavy personal burdens and high costs to society; thus, early identification and treatment are the keys to decreasing eye disease, vision impairment and blindness.4548 Consequently, population based information on eye care utilization is valuable in assessing the quality and determinants of eye care. In the present study agreement between self-report and medical record for this variable was substantial and the proportion of subjects who reported having been to an eye care provider in the previous year was comparable to previous research.8 Nonetheless, subjects’ medical records suggested that participants were overestimating eye care visits that occurred within one year and underestimating visits that occurred after two years. Because age-related eye diseases are often asymptomatic, current recommendations for older adults, i.e., those >65 years of age, from the American Academy of Ophthalmology and the American Optometric Association are to receive a comprehensive dilated eye examination every one to two years.49,50

Strengths of this study are as follows. The current study was a large, population-based examination of agreement between self-report and medical record on eye care utilization and major age-related chronic eye conditions among adults aged 70 years and older. Medical records were available for a large proportion of subjects and the person abstracting medical charts was masked to subject responses. In addition, all medical records were obtained from ophthalmologists and optometrists.

One important methodological consideration is how to handle self-reported responses of “not sure.” Few subjects self-reported “not sure” for time of last eye examination (N=7) and slightly more responded “not sure” for questions regarding cataracts (N=15), glaucoma (N=11), macular degeneration (N=17), and diabetic retinopathy (N=7). The current analysis omitted subjects who responded in this manner from the respective prevalence calculation. Based on information obtained from subjects’ medical records, 14/15 (93.3%) had cataracts, 7/11 (63.6%) had glaucoma, 5/17 (29.4%) had macular degeneration and 2/7 (28.6%) had diabetic retinopathy. To include those responding “not sure” in the analysis would require assuming that either none or all had the condition in question, thereby driving prevalence estimates down or up, respectively. However, given the small number of subjects (< 1%) in the current study who self-reported “not sure” to any of the eye disease questions, the impact on results was minimal.

The current study did not consider education level or cognition. Increased educational attainment has been reported to increase the validity of self-reported diagnoses that result in hospitalizations,11 and for some chronic conditions, e.g., diabetes, hypertension, myocardial infarction, and stroke.21 Some studies have reported that educational attainment does not play a significant role in self-report validity among elderly subjects,10,25,16 and the relationship between level of cognition and the validity of self-reported medical information is not well established.20,25,28 Nonetheless, relatively few (6.4%) participants did not complete high school, and only 2.4% performed less than normal on cognition assessment.

Only licensed drivers were included in the sample but the National Highway Traffic Safety Administration estimates that approximately 90% of older adults are licensed drivers.51 Thus, the prevalences of eye diseases and vision impairment are likely lower in the study population than in the general population which would result in conservative estimates. And finally, the study population did not include a meaningful number of participants (< 1%) who were not White or African American and did not include any participants less than 70 years of age.

In summary, the current study suggests that national estimates based on self-report underestimate eye disease and overestimate eye care utilization in the 70 years of age and older population. Future research should investigate these associations in other populations, e.g., < 70 years of age, Hispanic and Asian American populations.

Declaration of interest: The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

This research was supported by the National Eye Institute (R01EY18966 and a supplement through the American Recovery and Reinvestment Act of 2009), the EyeSight Foundation of Alabama, the Alfreda J. Schueler Trust, Research to Prevent Blindness, and the Centers for Disease Control and Prevention (5U58DP002651).

REFERENCESVision Problems in the U.SAccessed November 15 2011Available at: http://www.preventblindness.org/sites/default/files/national/documents/vision-impairmentblindness.pdf.The economic impact of vision problemsAccessed July 1 2012Available at http://www.preventblindness.net/site/DocServer/Impact_of_Vision_Problems.pdf.US Census BureauPopulation profile of the United StatesAccessed November 15 2011Available at: http://www.census.gov/population/www/pop-profile/natproj.html.CDCNational Diabetes Surveillance System2011Accessed November 15, 2011Atlanta, GAUS Department of Health and Human Services, CDCAvailable at http://apps.nccd.cdc.gov/ddtstrs/default.aspx.MainousAGBakerRKoopmanRJSaxenaADiazVAEverettCJMajeedAImpact of the population at risk of diabetes on projections of diabetes burden in the United States: an epidemic on the wayDiabetologia20075093494017119914ZhangXSaaddineJBChouCFPrevalence of diabetic retinopathy in the United States, 2005–2008JAMA201030464965620699456KleinRKleinBEJensenSCMares-PerlmanJACruickshanksKJPaltaMAge-related maculopathy in a multiracial United States population: the National Health and Nutrition Examination Survey IIIOphthalmology19991061056106510366071McGwinGKhouryRCrossJOwsleyCVision impairment and eye care utilization among Americans 50 and olderCurr Eye Res20103545145820465437LeeDJArheartKLLamBLTrends in reported visual impairment in United States adultsOphthalmic Epidemiol200916424919191181ChalmersRLBegleyCGEdringtonTThe agreement between self-assessment and clinician assessment of dry eye severityCornea20052480481016160496BergmannMMByersTFreedmanDSMokdadAValidity of self-reported diagnoses leading to hospitalization: a comparison of self-reports with hospital records in a prospective study of American adultsAm J Epidemiol19981479699779596475BushTLMillerSRGoldenALHaleWESelf-report and medical record report agreement of selected medical conditions in the elderlyAm J Public Health198979155415562817172BecklesGLWilliamsonDFBrownAFAgreement between self-reports and medical records was only fair in a cross-sectional study of performance of annual eye examinations among adults with diabetes in managed careMed Care20074587688317712258FowlesJBRosheimKFowlerEJCraftCArrichielloLThe validity of self-reported diabetes quality of care measuresInt J Qual Health Care19991140741210561032PattyLWuCTorresMAzenSVarmaRLos Angeles Latino Eye Study GroupValidity of Self-reported Eye Disease and Treatment in a Population-based Study: The Los Angeles Latino Eye StudyOphthalmologyArticle in press.LeikaufJFedermanADComparisons of self-reported and chart-identified chronic diseases in inner-city seniorsJ Am Geriatr Soc2009571219122519486197ShortMEGoetzelRZPeiXHow accurate are self-reports? Analysis of self-reported health care utilization and absence when compared with administrative dataJ Occup Environ Med20095178679619528832SmithBChuLKSmithTCMillennium Cohort Study Team. Challenges of self-reported medical conditions and electronic medical records among members of a large military cohortBMC Med Res Methodol200883718644098TisnadoDMAdamsJLLiuHDoes concordance between data sources vary by medical organization type?Am J Manag Care20071328929617567226SimpsonCFBoydCMCarlsonMCGriswoldMEGuralnikJMFriedLPAgreement between self-report of disease diagnoses and medical record validation in disabled older women: factors that modify agreementJ Am Geriatr Soc20045212312714687326OkuraYUrbanLHMahoneyDWJacobsenSJRodehefferRJAgreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failureJ Clin Epidemiol2004571096110315528061RainaPTorrance-RynardVWongMWoodwardCAgreement between self-reported and routinely collected health-care utilization data among seniorsHealth Serv Res20023775177412132604ThompsonBLO'ConnorPBoyleRMeasuring clinical performance: comparison and validity of telephone survey and administrative dataHealth Serv Res20013681382511508641MartinLMLeffMCalongeNGarrettCNelsonDEValidation of self-reported chronic conditions and health services in a managed care populationAm J Prev Med20001821521810722987KriegsmanDMPenninxBWvan EijkJTBoekeAJDeegDJSelf-reports and general practitioner information on the presence of chronic diseases in community dwelling elderly. A study on the accuracy of patients' self-reports and on determinants of inaccuracyJ Clin Epidemiol199649140714178970491ZapkaJGBigelowCHurleyTMammography use among sociodemographically diverse women: the accuracy of self-reportAm J Public Health199686101610218669504JordanTRPriceJHKingKAThe validity of male patients’ self-reports regarding prostate cancer screeningPrev Med19992829730310072749WallihanDBStumpTECallahanCMAccuracy of self-reported health services use and patterns of care among urban older adultsMed Care19993766267010424637Pinpoint TechnologiesAccessed November 15 2011Available at: http://www.pinpoint-tech.com/.LandisJRKochGGThe measurement of observer agreement for categorical dataBiometrics197733159174843571Centers for Disease Control and Prevention (CDC)The State of Vision, Aging, and Public Health in AmericaAccessed November 15 2011Available at: http://www.cdc.gov/visionhealth/pdf/vision_brief.pdf.RyskulovaATurczynKMakucDMCotchMFKleinRJJaniszewskiRSelf-reported age-related eye diseases and visual impairment in the United States: results of the 2002 national health interview surveyAm J Public Health20089845446118235074OwsleyCMcGwinGJrVision and drivingVision Research2010502348236120580907Centers for Disease Control and Prevention (CDC)Self-reported visual impairment among persons with diagnosed diabetes — United States, 1997–2010MMWR Morb Mortal Wkly Rep2011601549155322089967American Medical Association: Ad Hoc Committee on Health Literacy for the Council on Scientific AffairsJAMA199928155255710022112GaschATWangPPasqualeLRDeterminants of glaucoma awareness in a general eye clinicArch Ophthalmol2000107303308OwsleyCMcGwinGScilleyKGirkinCAPhillipsJMSearceyKPerceived barriers to care and attitudes about vision and eye care: focus groups with older African Americans and eye care providersInvest Ophthalmol Vis Sci2006472797280216799016van RynMResearch on the provider contribution to race/ethnicity disparities in medical careMed Care2002401 SupplI140I15111789627JohnsonRLRoterDPoweNRCooperLAPatient race/ethnicity and quality of patient-physician communication during medical visitsAm J Public Health2004942084209015569958Cooper-PatrickLGalloJJGonzalesJJRace, gender, and partnership in the patient-physician relationshipJAMA199928258358910450723CooperLARoterDLPatient-Provider Communication: The Effect of Race and Ethnicity on Process and Outcomes of Healthcare. In Institute of Medicine Committee on Understanding and Eliminating Racial and Ethnic Disparities in Health CareUnequal Treatment: Confronting Racial and Ethnic Disparities in Health Care2003Washington, DCNational Academy Press552593The Diabetes Control and Complication Trial Research GroupLifetime benefits and costs of intensive therapy as practiced in the diabetes control and complications trialJAMA1996276140914158892716JohnsonCAKeltnerJLCelloKEBaseline visual field characteristics in the ocular hypertension treatment studyOphthalmology200210943243711874743LeskeMCHeijlAHusseinMFactors for glaucoma progression and the effect of treatment: the early manifest glaucoma trialArchives of Ophthalmology2003121485612523884JavittJCBrennerMHCurbowBLegroMWStreetDAOutcomes of cataract surgery: Improvement in visual acuity and subjective visual function after surgery in the first, second, and both eyesArchives of Ophthalmology19931116866918489454ColemanALYuFKeelerEMangioneCMTreatment of uncorrected refractive error improves vision specific quality of lifeJournal of the American Geriatrics Society20065488389016776781OwsleyCMcGwinGJrScilleyKMeekCSekerDDyerAEffect of refractive error correction on health-related quality of life and depression in older nursing home residentsArchives of Ophthalmology20071251471147717998508ReinDBWittenbornBSLeePPThe cost-effectiveness of routine office-based identification and subsequent medical treatment of primary open-angle glaucoma in the United StatesOphthalmology200911682383219285730American Academy of OphthalmologyPreferred Pattern GuidelinesComprehensive adult medical eye evaluation2010Accessed November 15 2011San Francisco, CAAmerican Academy of OphthalmologyAvailable at: http://one.aao.org/CE/PracticeGuidelines/PPP_Content.aspx?cid=64e9df91-dd10-4317-8142-6a87eee7f517.American Optometric Association Consensus Panel on Comprehensive Adult Eye and Vision ExaminationPractice Guideline. Comprehensive Adult Eye and Vision ExaminationReference Guide for Clinicians2005Second EditionAccessed: November 15 2008Available at: http://www.aoa.org/documents/CPG-1.pdf.National Highway Traffic Safety Administration (NHTSA)Older DriversTraffic Safety Facts2008Accessed November 15 2011Data (DOT HS 811 161). Available at: http://www-nrd.nhtsa.dot.gov/Pubs/811161.PDF.

Vision health questions administered to study participants

Module/questionMultiple choice responses
Visual Impairment and Access to Eye Care
  When was the last time you had your eyes examined by any doctor or eye care provider?

Within the past month (anytime less than 1 month ago)

Within the past year (1 month but less than 12 months ago)

Within the past 2 years (1 year but less than 2 years ago)

2 or more years ago

Never

Don’t know / Not sure

Refused

  Have you EVER been told by a doctor or other health care professional that you:
    NOW have cataracts?*

Yes

No

Don’t know / Not sure

Refused

    Had glaucoma?
    Had age-related macular degeneration?
Diabetes
  Has a doctor ever told you that diabetes has affected your eyes or that you have retinopathy?

Yes

No

Don’t know / Not sure

Refused

provide for the response “Yes, but had them removed”

Demographic and health characteristics of study participants (N=2,001)

Mean age (SD)77 (4)
Median age76
Age range70–98
Gender, N (%)
  Male1,130 (56.5)
  Female871 (43.5)
Race/ethnicity, N (%)
  White1,643 (82.1)
  African American349 (17.4)
  Hispanic4 (0.2)
  Asian3 (0.2)
  Other2 (0.1)
General health N, (%)
  Excellent353 (17.6)
  Very good828 (41.4)
  Good630 (31.5)
  Fair164 (8.2)
  Poor26 (1.3)
Five most prevalent co-morbidities, N (%)
  High BP1,303 (65.4)
  Arthritis1,087 (54.5)
  Heart problems798 (39.9)
  Hearing644 (32.3)
  Cancer628 (31.4)
Type of provider medical record obtained from, N (%)1,873 (93.6)
  Ophthalmologist1,159 (61.9)
  Optometrist714 (38.1)

Agreement between self-report and medical record for time of last eye exam

Self-Report Time Eyes Last Examined

Medical record< 1 year, N (%)1–2 years, N (%)> 2 years, N (%)Total, N (%)
< 1 year1,282 (86.5)37 (18.2)7 (3.9)1,326 (71.0)
1–2 years153 (10.3)113 (55.7)37 (20.3)303 (16.2)
> 2 years47 (3.2)53 (26.1)138 (75.8)238 (12.8)
Total, N (%)1,482 (79.4)203 (10.9)182 (9.8)1,867 (100)

Weighted Kappa=0.64 (0.60–0.68)

Comparison of self-report with medical record for major eye diseases

Self-Report

Medical RecordYes, N (%)No, N (%)Total, N (%)
Cataracts or IOL
    Yes1,442 (97.8)324 (84.6)1,766 (95.1)
    No33 (2.2)59 (15.4)92 (5.0)
  Total, N (%)1,475 (79.4)383 (20.6)1,858 (100)
  κ=0.18 (95% CI = 0.13–0.23)
Glaucoma
    Yes154 (75.6)46 (2.8)200 (10.8)
    No50 (24.5)1,611 (97.2)1,661 (89.3)
  Total, N (%)204 (11.0)1,657 (90.1)1,861 (100)
  κ=0.73 (95% CI = 0.68–0.78)
Macular degeneration
    Yes116 (73.9)218 (12.8)334 (18.0)
    No41 (26.1)1,481 (87.2)1,522 (82.0)
  Total, N (%)157 (8.5)1,699 (91.5)1,856 (100)
  κ=0.40 (95% CI = 0.35–0.46)
Diabetic Retinopathy
    Yes25 (58.1)35 (1.9)60 (3.2)
    No18 (41.9)1,788 (98.1)1,806 (96.8)
  Total, N (%)43 (2.3)1,823 (97.7)1,866 (100)
  κ=0.47 (95% CI = 0.35–0.59)

Comparison of agreement for eye care utilization and eye diseases by racial group

White (κ)African Americans (κ)p-value*
Last eye exam**0.650.610.43
Eye diseases
  Cataract0.190.140.44
  Glaucoma0.700.760.28
  Macular degeneration0.420.14<0.01
  Diabetic retinopathy0.440.510.60

χ2 test of equality of κ coefficients

weighted κ